Nvidia's new Grace CPU targets massive AI workloads by integrating high-bandwidth memory and tight GPU coupling. This architecture reduces data bottlenecks between processors. It competes directly with traditional server chips in data centers. Practitioners can expect faster inference speeds and lower power consumption for large-scale model deployments across cloud infrastructure.